works on

From the 1 of 6 linked papers with an AI index.

collaborators

6 papers

cs.CV2026

Visko Orbis 1.0: A Live Model for Real-Time Interactive Long Video Generation

Xiangbo Gao, Siyuan Yang, Ping He +12

Visko Orbis 1.0 is a live model that generates long videos in real time, letting users change prompts on the fly while preserving subject, scene, and style consistency across hour‑…

cs.CV2026

PISCO: Precise Video Instance Insertion with Sparse Control

Xiangbo Gao, Renjie Li, Xinghao Chen +4

The landscape of AI video generation is undergoing a pivotal shift: moving beyond general generation - which relies on exhaustive prompt-engineering and "cherry-picking" - towards…

cs.CV2026

Background Fades, Foreground Leads: Curriculum-Guided Background Pruning for Efficient Foreground-Centric Collaborative Perception

Yuheng Wu, Xiangbo Gao, Quang Tau +2

Collaborative perception enhances the reliability and spatial coverage of autonomous vehicles by sharing complementary information across vehicles, offering a promising solution to…

cs.CV2025

SafeCoop: Unravelling Full Stack Safety in Agentic Collaborative Driving

Xiangbo Gao, Tzu-Hsiang Lin, Ruojing Song +6

Collaborative driving systems leverage vehicle-to-everything (V2X) communication across multiple agents to enhance driving safety and efficiency. Traditional V2X systems take raw s…

cs.CV2025

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration

Xiangbo Gao, Yuheng Wu, Fengze Yang +7

While multi-vehicular collaborative driving demonstrates clear advantages over single-vehicle autonomy, traditional infrastructure-based V2X systems remain constrained by substanti…

cs.RO2025

LangCoop: Collaborative Driving with Language

Xiangbo Gao, Yuheng Wu, Rujia Wang +3

Multi-agent collaboration holds great promise for enhancing the safety, reliability, and mobility of autonomous driving systems by enabling information sharing among multiple conne…